Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
machine learning β’ natural language processing β’ deep learning
October 11, 2024
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
machine learning β’ natural language processing β’ deep learning
β’ Here at Hugging Face, weβre on a journey to advance good Machine Learning and make it more accessible. β’ We have built the fastest-growing, open-source, library of pre-trained models in the world. β’ As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team. β’ You will enjoy a lot of autonomy and full creative control. β’ You are a great communicator and educator, comfortable with public speaking to technical audiences. β’ You love learning new challenging engineering concepts and discussing them with engineers. β’ Hugging Face has become the most popular, community-driven project for training, sharing, and deploying advanced machine learning models.
β’ Experience in Open Source development will be helpful. β’ Engaging with the ML community in a positive and helpful way is expected.
β’ Health, dental, and vision benefits for employees and their dependents. β’ Parental leave and flexible paid time off. β’ Flexible working hours and remote options. β’ Reimbursement for relevant conferences, training, and education. β’ Company equity as part of compensation package. β’ Opportunity to visit office spaces in NYC and Paris.
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